paligemma-3b-wat2024-chat-v0.2
This model is a fine-tuned version of google/paligemma-3b-mix-448 on the llava_wat dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 2.0
Training results
Framework versions
- Transformers 4.43.2
- Pytorch 2.1.2+git70dfd51
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for sam2ai/paligemma_hindi_vg_3b
Base model
google/paligemma-3b-mix-448